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Dynamically optimal strategies for managing the joint resistance of pests to Bt toxin and conventional pesticides in a developing country

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  • Fangbin Qiao
  • James Wilen
  • Jikun Huang
  • Scott Rozelle

Abstract

In this study we discuss why planting non-Bacillus thuringiensis (non-Bt) cotton as a refuge crop in China (and other developing countries) may not be economically optimal. To show this, we develop a bioeconomic model to run simulations that will help find the optimal strategies for managing the joint resistance of pests to the Bt toxin and conventional pesticides. We show that the approach of not requiring non-Bt cotton as a refuge is defensible given initial conditions and parameters calibrated to China's cotton production environment. Of special importance is the existence of natural refuge crops. The nature of transaction costs associated with implementing a refuge policy is also considered. Oxford University Press and Foundation for the European Review of Agricultural Economics 2009; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Fangbin Qiao & James Wilen & Jikun Huang & Scott Rozelle, 2009. "Dynamically optimal strategies for managing the joint resistance of pests to Bt toxin and conventional pesticides in a developing country," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 253-279, June.
    • Handle: RePEc:oup:erevae:v:36:y:2009:i:2:p:253-279
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    File URL: http://hdl.handle.net/10.1093/erae/jbp014
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    Cited by:

    1. Marion Desquilbet & Markus Herrmann, 2016. "The Dynamics of Pest Resistance Management: The Case of Refuge Fields for Bt Crops," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 253-288, June.
    2. Desquilbet, Marion & Hermann, Markus, 2012. "An assessment of bioeconomic modeling of pest resistance with new insights into dynamic refuge fields," TSE Working Papers 12-263, Toulouse School of Economics (TSE).
    3. Qiao, Fangbin, 2015. "Fifteen Years of Bt Cotton in China: The Economic Impact and its Dynamics," World Development, Elsevier, vol. 70(C), pages 177-185.

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